Staff Backend Engineer (all genders)

Stellenbeschreibung:

We are looking for a Staff Backend Engineer (all genders) to be part of the development of our data-driven systems, specifically one of the Search, Recommendations and Sorting teams. These circles are embedded in our circle cluster “Customer & Shop Intelligence”, which is in charge of driving a personalized and inspirational shop experience.

There are multiple possible areas you could work on. One is designing and implementing search algorithms, leveraging NLP techniques, and optimizing search results for relevance and efficiency to ensure our Search Engine delivers highly accurate and comprehensive results, enhancing the overall user experience. Another option would be working at the heart of our recommendation or ranking systems with deep insights into the algorithms behind that. Within this, you will work together with fellow engineers and data scientists to ensure that the systems serve customers in the best possible way, balancing speed and recommendation performance.

  • Develop smart BI solutions utilizing NodeJS with TypeScript
  • Manage extensive data volumes efficiently, employing Google BigQuery and integrating seamlessly with Business Intelligence systems
  • Build and enhance high-traffic APIs, ensuring minimal latencies
  • Collaborate closely with seasoned developers, product managers, data scientists and analysts to enhance current functionalities and launch novel features
  • Encouragement for innovative ideas and creations, a flat organizational structure, and rapid decision-making processes ensure ample room for contribution and growth
  • Draft architectural decisions together with our Tech Lead and explore new technologies

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NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    18 Mai 2026
  • Standort:

    Hamburg

    Einsatzort:

    Hamburg or Berlin
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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